Explanations in the information extraction system iDocument

Björn Forcher, Benjamin Adrian, Thomas Roth-Berghofer

In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI) Schwerpunkt: Erklärungen 2/08 Seiten 32-34 Böttcher IT 5/2008.


The information extraction system iDocument interactively extracts information from texts such as instances and relations with respect to existing background knowledge. An extraction process creates weighted hypotheses describing indications of relevant information. During execution, each process step records its output into an instantiated process model. We reused these bits of information for generating conceptual, functional as well as causal explanations. In order to visualise explanations, our component utilises different mechanisms for textual, explorative, and pictorial rendering styles.


Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence